Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Ismail, Firas B"'
Publikováno v:
In Heliyon December 2022 8(12)
Autor:
Deng, Chao, Al-Sammarraie, Ahmed T., Ibrahim, Thamir K., Kosari, Erfan, Basrawi, Firdaus, Ismail, Firas B., Abdalla, Ahmed N.
Publikováno v:
In International Journal of Refrigeration December 2020 120:161-177
Publikováno v:
In Energy Conversion and Management 1 July 2020 215
Publikováno v:
In Renewable Energy January 2020 145:1543-1571
Autor:
Ismail, Firas B.1 (AUTHOR) firas@uniten.edu.my, Mazwan, Maisarah1 (AUTHOR), Al-Faiz, Hussein1 (AUTHOR), Marsadek, Marayati1 (AUTHOR), Hasini, Hasril1 (AUTHOR), Al-Bazi, Ammar2 (AUTHOR), Yang Ghazali, Young Zaidey3 (AUTHOR)
Publikováno v:
Energies (19961073). Sep2022, Vol. 15 Issue 17, p6435. 18p.
Publikováno v:
In Procedia Computer Science 2017 112:2240-2248
Publikováno v:
In Procedia Computer Science 2017 105:282-288
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
MATEC Web of Conferences, Vol 131, p 03003 (2017)
Repeated boiler tube leak trips in coal fired power plants can increase operating cost significantly. An early detection and diagnosis of boiler trips is essential for continuous safe operations in the plant. In this study two artificial intelligent
Externí odkaz:
https://doaj.org/article/1f072870b67c49faa93bdff456feb630
Publikováno v:
MATEC Web of Conferences, Vol 74, p 00006 (2016)
Tube leakage in boilers has been a major contribution to trips which eventually leads to power plant shut downs. Training of network and developing artificial neural network (ANN) models are essential in fault detection in critically large systems. T
Externí odkaz:
https://doaj.org/article/da63aa8717384aa8a9d36ba43426b8f6